Last data update: 2014.03.03

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Results 11101 - 11110 of 11200 found.
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trotter : Pseudo-Vectors Containing All Permutations, Combinations and Subsets of Objects Taken from a Vector.

Package: trotter
Type: Package
Title: Pseudo-Vectors Containing All Permutations, Combinations and
Subsets of Objects Taken from a Vector.
Version: 0.6
Date: 2014-09-05
Author: Richard Ambler
Maintainer: Richard Ambler <rambler@ibwya.net>
Description: Class definitions and constructors for pseudo-vectors containing
all permutations, combinations and subsets of objects taken from a vector.
Simplifies working with structures commonly encountered in combinatorics.
Depends: methods
License: GPL-3
Packaged: 2014-09-21 06:13:45 UTC; rambler
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-21 11:06:59

● Data Source: CranContrib
● 0 images, 15 functions, 0 datasets
● Reverse Depends: 0

trueskill : Implementation the TrueSkill algorithm in R

Package: trueskill
Title: Implementation the TrueSkill algorithm in R
Description: An implementation of the TrueSkill algorithm (Herbrich,
R., Minka, T. and Grapel, T) in R; a Bayesian skill rating
system with inference by approximate message passing on a
factor graph. Used by Xbox to rank gamers and identify
appropriate matches.
http://research.microsoft.com/en-us/projects/trueskill/default.aspx
Current version allows for one player per team. Will update as
time permits. Requires R version 3.0 as it is written with
Reference Classes. URL:
https://github.com/bhoung/trueskill-in-r Acknowledgements to
Doug Zongker and Heungsub Lee for their python implementations
of the algorithm and for the liberal reuse of Doug's code
comments (@dougz and @sublee on github).
Version: 0.1
Author: Brendan Houng <brendan.houng@gmail.com>
Maintainer: Brendan Houng <brendan.houng@gmail.com>
License: GPL-3
Depends: R (>= 3.0)
Imports: methods
Collate: 'factorgraph.r' 'init.r' 'competition.r' 'player.r'
Packaged: 2013-05-22 05:32:15 UTC; brendanhoung
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-05-22 08:00:08

● Data Source: CranContrib
● 0 images, 10 functions, 1 datasets
● Reverse Depends: 0

truncSP : Semi-parametric estimators of truncated regression models

Package: truncSP
Type: Package
Title: Semi-parametric estimators of truncated regression models
Version: 1.2.2
Date: 2014-05-05
Author: Anita Lindmark and Maria Karlsson, Department of Statistics, Umea University
Maintainer: Anita Lindmark <anita.lindmark@stat.umu.se>
Description: Semi-parametric estimation of truncated linear regression models
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.10), stats, methods, truncreg, boot
Packaged: 2014-05-05 09:02:11 UTC; anli0053
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-05 11:43:44

● Data Source: CranContrib
● 0 images, 13 functions, 2 datasets
● Reverse Depends: 0

truncdist : Truncated Random Variables

Package: truncdist
Version: 1.0-1
Date: 2012-03-15
Author: Frederick Novomestky <fnovomes@poly.edu>, Saralees Nadarajah
<saralees.nadarajah@manchester.ac.uk>
Maintainer: Frederick Novomestky <fnovomes@poly.edu>
Depends: R (>= 2.0.1), stats4, evd
Description: A collection of functions to evalue probability density
functions, cumulative distribution functions, quantile
functions and random numbers for truncated random variables.
Functions are provided to also compute the expected value and
variance. Nadarajah and Kotz (2006) developed most of the
functions. QQ plots can be produced. All the probability
functions in the stats, stats4 and evd packages are
automatically available for truncation..
Title: Truncated Random Variables
License: GPL (>= 2)
Packaged: 2012-03-15 16:18:42 UTC; fred
Repository: CRAN
Date/Publication: 2012-03-16 14:34:02

● Data Source: CranContrib
● 0 images, 7 functions, 0 datasets
● Reverse Depends: 0

truncgof : GoF tests allowing for left truncated data

Package: truncgof
Type: Package
Title: GoF tests allowing for left truncated data
Version: 0.6-0
Date: 2012-12-24
Author: Thomas Wolter <thwolter@gmail.com>
Maintainer: Renato Vitolo <renato.vitolo@banca.mps.it>
Depends: R (>= 2.4.0), MASS
Description: Goodness-of-fit tests and some adjusted exploratory tools
allowing for left truncated data
License: GPL (>= 2)
Packaged: 2012-12-25 01:28:30 UTC; renato
Repository: CRAN
Date/Publication: 2012-12-25 08:11:28

● Data Source: CranContrib
● 0 images, 12 functions, 0 datasets
● Reverse Depends: 0

truncnorm : Truncated normal distribution

Package: truncnorm
Version: 1.0-7
Title: Truncated normal distribution
Description: r/d/p/q functions for the truncated normal distribution
Author:
Heike Trautmann <trautmann@statistik.uni-dortmund.de>
and Detlef Steuer <detlef.steuer@hsu-hamburg.de>
and Olaf Mersmann <olafm@statistik.uni-dortmund.de>
and Björn Bornkamp <bornkamp@statistik.tu-dortmund.de>
Maintainer: Olaf Mersmann <olafm@statistik.uni-dortmund.de>
Depends: R (>= 2.15.0)
License: GPL-2
Encoding: UTF-8
Date:
Packaged: 2014-01-21 08:56:20 UTC; olafm
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-21 10:17:26

● Data Source: CranContrib
● Cran Task View: Distributions
● 0 images, 1 functions, 0 datasets
Reverse Depends: 6

truncreg : Truncated Gaussian Regression Models

Package: truncreg
Version: 0.2-1
Date: 2013-12-24
Title: Truncated Gaussian Regression Models
Authors@R: c(person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
person("Achim", "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
Depends: R (>= 1.8.0), maxLik
Suggests: survival
Description: Estimation of models for truncated Gaussian variables by maximum likelihood.
License: GPL (>= 2)
URL: http://R-Forge.R-project.org/projects/truncreg/
Author: Yves Croissant [aut, cre],
Achim Zeileis [aut]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Repository: CRAN
Repository/R-Forge/Project: truncreg
Repository/R-Forge/Revision: 5
Repository/R-Forge/DateTimeStamp: 2013-12-24 09:59:06
Date/Publication: 2013-12-27 13:28:25
Packaged: 2013-12-24 11:35:26 UTC; rforge
NeedsCompilation: no

● Data Source: CranContrib
● Cran Task View: Econometrics
● 0 images, 1 functions, 0 datasets
Reverse Depends: 2

trustOptim : Trust Region Optimization for Nonlinear Functions with Sparse Hessians

Package: trustOptim
Type: Package
Title: Trust Region Optimization for Nonlinear Functions with Sparse
Hessians
Version: 0.8.5
Date: 2015-02-04
Authors@R: person(given="Michael", family="Braun", email="braunm@smu.edu", role=c("aut","cre","cph"))
URL: http://coxprofs.cox.smu.edu/braunm
Description: Trust region algorithm for nonlinear optimization. Efficient when the Hessian of the objective function is sparse (i.e., relatively few nonzero cross-partial derivatives).
License: MPL (>= 2.0)
Depends: R (>= 3.1.2), Rcpp (>= 0.11.3), Matrix (>= 1.1.4)
Suggests: testthat, knitr
LinkingTo: Rcpp, RcppEigen (>= 0.3.2.3)
Copyright: (c) 2015 Michael Braun
VignetteBuilder: knitr
SystemRequirements: C++11
Packaged: 2015-02-04 18:36:16 UTC; braunm
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-02-04 21:16:22

● Data Source: CranContrib
● Cran Task View: Optimization
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

trust : Trust Region Optimization

Package: trust
Version: 0.1-7
Date: 2015-07-02
Title: Trust Region Optimization
Author: Charles J. Geyer <charlie@stat.umn.edu>.
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>
Depends: R (>= 2.10.0)
Imports: stats
ByteCompile: TRUE
Description: Does local optimization using two derivatives and trust regions.
Guaranteed to converge to local minimum of objective function.
License: MIT + file LICENSE
URL: http://www.stat.umn.edu/geyer/trust/
NeedsCompilation: no
Packaged: 2015-07-02 20:45:19 UTC; geyer
Repository: CRAN
Date/Publication: 2015-07-04 15:16:45

● Data Source: CranContrib
● Cran Task View: Optimization
● 0 images, 1 functions, 0 datasets
Reverse Depends: 9

tsBSS : Tools for Blind Source Separation for Time Series

Package: tsBSS
Type: Package
Title: Tools for Blind Source Separation for Time Series
Version: 0.1
Date: 2015-12-04
Author: Markus Matilainen, Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Maintainer: Markus Matilainen <markus.matilainen@utu.fi>
Depends: JADE
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: stochvol
Description: Different estimates are provided to solve the blind source separation problem for time series with stochastic volatility.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2015-12-04 09:40:04 UTC; manmat
Repository: CRAN
Date/Publication: 2015-12-04 15:40:38

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0